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quality_of_life_check

Read-onlyIdempotent

Score an older pet's quality of life on the published HHHHHMM scale (Hurt, Hunger, Hydration, Hygiene, Happiness, Mobility, More good days than bad), each 0-10. Use when someone is tracking whether a senior pet still has more good days than bad.

Input Schema

NameRequiredDescriptionDefault
hurtYes
hungerYes
hygieneYes
mobilityYes
happinessYes
hydrationYes
more_good_daysYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds that each domain is rated 0-10 on a published scale, but says nothing about what the tool returns (total, per-domain output, verdict) or any interpretation threshold.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences: the identity/scale first, the usage trigger second. Nothing is repeated and nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 7-parameter scoring tool with no output schema, the description covers the inputs but not the result — an agent cannot tell whether it gets a single aggregate score, an itemized breakdown, or an interpretation of 'more good days than bad'. That missing return-value statement is the main completeness gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the schema gives only bare names and type 'number'. The description compensates well: it expands the acronym and assigns each of the seven required fields to a named domain, and specifies the 0-10 range that the schema omits. It leaves the polarity of 'hurt' (whether 10 means no pain) unstated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (score) and resource (an older pet's quality of life) and names the exact instrument (the published HHHHHMM scale) with its seven domains spelled out. No sibling tool does anything similar, so an agent can select this without ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The second sentence gives a concrete trigger: 'Use when someone is tracking whether a senior pet still has more good days than bad.' That is a clear usage context, but there are no exclusions or pointers to alternatives (e.g., for general cost or lifespan questions where cost_calculator or dog_years_calculator would be right).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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